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Lecture Notes in Computer Science
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in the ontology learning process that the acquired ontologies represent uncertain and possibly contradicting knowledge. From a logical perspective, the learned ontologies are potentially inconsistent knowledge bases that thus do not allow meaningful reasoning directly. In this paper we present an approach to generatedoi:10.1007/978-3-540-89765-1_21 fatcat:bfwld3qbm5eh5iy27tpqdnngky